Openai presents a deep investigation: an AI agent who uses reasoning to synthesize large amounts of online information and complete research tasks in several steps

Operai has introduced Deep Investigation, a tool designed to help users to carry out thorough research and several steps on a variety of topics. Unlike traditional search engines, which return a list of links, deep research synthesizes multiple sources information in detailed and well -cited reports. This characteristic is particularly useful for professionals in fields such as finance, science, politics and engineering that require structured and deep ideas.

Deep research helps users to conduct structured research through the collection, analyzing and summary of several sources from various sources. The tool provides detailed reports with appointments, helping users to save time and improve the quality of their research.

Key characteristics of deep research:

• Autonomous Research: The tool executes several steps research tasks, adapting its real -time information -based approach.
• Multimodal input: Users can improve consultations by adding text, images, PDF or spreadsheets for an additional context.
• Complete reports: Deep research offers well -structured reports, which will soon include integrated images, data visualizations and analytical information.
• PERFORMANCE BENCHMARKING: The model has performed strongly in research tasks at expert level, demonstrating its capacity in the management of complex consultations.

Step by step guide to use deep research:

1. Access to deep investigation:

• Be sure to be a Chatgpt Pro user, since deep research is currently available for Pro subscribers.
• Log in your chatgpt account.

2. Start a research consultation:

• In the chatgpt interface, look for the message composer.
• Select the “Deep Research” option to activate this feature.

3. Send your query:

• Enter a research question or topic in the text field.
• Load relevant files, such as PDF or spreadsheets, to provide an additional context.
• Send the query and allow the system to process the application.

4. Processing time:

• Deep research generally completes the tasks in 5 to 30 minutes, depending on the complexity of the application.
• You will receive a notification once the investigation is completed.

5. REPRODUCT OF THE REPORT:

• The generated report includes a summary of relevant findings and appointments.
• Future updates will introduce integrated images, data visualizations and additional analytical elements.

Example use case:

Suppose you are investigating recent changes in the retail industry.

1. Step 1: Open the chatgpt and activate deep research.
2. Step 2: Enter a consultation such as “analyze significant changes in the retail industry in the last three years.”
3. Step 3: Load any relevant data or reports for a better context.
4. Step 4: Send the query and wait for the investigation to be processed.
5. Step 5: Check the final report, which may include trends, statistical data and expert ideas with adequate appointments.

Conclusion:

Deep research provides users with structured and well source information, which makes complex research tasks more manageable. Following the described steps, users can efficiently take advantage of this tool to generate detailed ideas. As Operai continues to refine the characteristic, it is expected to become an even more valuable resource for researchers and professionals equally.

Verify he Details here. All credit for this investigation goes to the researchers of this project. Besides, don't forget to follow us <a target="_blank" href="https://x.com/intent/follow?screen_name=marktechpost” target=”_blank” rel=”noreferrer noopener”>twitter and join our Telegram channel and LINKEDIN GRsplash. Do not forget to join our 75K+ ml of submen.

Marktechpost is inviting companies/companies/artificial intelligence groups to associate for their next ai magazines in 'Open Source ai in production' and 'ai de Agent'.